Imperial College London
Alternate

DrJavierBarria

Faculty of Engineering, Department of Electrical and Electronic Engineering

Reader
 
 
 
//

Contact

 

+44 (0)20 7594 6275j.barria Website

 
 
//

Location

 

1012Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{milojevic:2017:10.1109/NetSys.2017.7903959,
author = {milojevic, M and barria, J},
doi = {10.1109/NetSys.2017.7903959},
publisher = {IEEE},
title = {Decentralized data fusion for urban micro-scale monitoring using mobile sensor network},
url = {http://dx.doi.org/10.1109/NetSys.2017.7903959},
year = {2017}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This paper presents a Decentralized Data Fusion (DDF) framework for micro-scale monitoring applications in urban environments using a mobile sensor network. Here nodes collect data along their routes and share them with other nodes in the network in an opportunistic manner. The DDF framework enables the nodes to fuse data that arrives delayed from other nodes and estimate the missing values in the time gaps. This allows the nodes to create an autonomous perception about the dynamics of the observed phenomenon. The performance of the proposed DDF framework is demonstrated in the context of an urban air pollution monitoring scenario. Simulation results show that the proposed framework is able to expand the estimated pollution data set at the expense of a slight decrease in its accuracy. The simulation results also evaluate the impact of population of nodes on the performance of the DDF framework.
AU  - milojevic,M
AU  - barria,J
DO  - 10.1109/NetSys.2017.7903959
PB  - IEEE
PY  - 2017///
TI  - Decentralized data fusion for urban micro-scale monitoring using mobile sensor network
UR  - http://dx.doi.org/10.1109/NetSys.2017.7903959
UR  - http://hdl.handle.net/10044/1/43281
ER  -
Download